Headline

Student at MVJ College of Engineering, Bangalore, India

About

Java Full Stack Developer and QA-aware engineer, graduating July 2025 from MVJ College of Engineering (CGPA: 8.20/10). I build end-to-end web applications using Java, Servlets, Hibernate, and MySQL — and I understand the full software lifecycle from development to testing. What I've built: Smart Expense Tracker — full-stack app with secure auth, Hibernate ORM, CRUD operations, and session management (Java · JDBC · Hibernate · MySQL) Blockchain E-Voting System — decentralized voting using Ethereum smart contracts + React.js frontend (Solidity · Web3.js · React) CRM Data Automation — Python NLP pipeline using spaCy and TextBlob to classify and clean customer feedback at scale Technical strengths: Backend: Core Java, OOP, JDBC, Servlets, Hibernate, REST APIs, MVC Architecture Frontend: HTML5, CSS3, JavaScript, React.js Databases: MySQL, Oracle, SQL Testing & QA: Manual Testing, SDLC, STLC, JIRA, Test Case Writing, Bug Reporting DSA: 150+ problems solved on LeetCode Currently completing a Java Full Stack training program at Dhee Coding, Bengaluru, working on real application builds with Servlets + Hibernate + React integration. Open to: Java Developer (SDE-1), Manual Test Engineer, or QA Analyst roles. Available immediately after graduation (July 2025). Bangalore or Kolkata preferred.

Location

Bengaluru

Work experience

Intern at Dhee Coding Lab, Dec 2025 - Present · 6 mos, Bengaluru

Data Analyst at Rooman Technologies Pvt Ltd, Sep 2024 - Mar 2025 · 7 mos, Bengaluru, Karnataka, India, Just completed an exciting internship working on "CRM Data Optimizer – Automation & NLP-Driven Insights" where I developed a Python-based solution that automatically cleans messy CRM data using advanced AI technologies. The system uses NLP libraries like TextBlob and spaCy to remove duplicates, standardize formats, and apply sentiment analysis to customer feedback, transforming unstructured data into actionable business insights. Key achievements include building an intelligent duplicate detection system using fuzzy matching algorithms and creating a sentiment analysis engine that classifies customer feedback as positive, negative, or neutral. This automation significantly reduces manual data cleaning efforts while improving accuracy, enabling businesses to make faster, data-driven decisions. This internship was part of VTU's collaboration with Rooman Technologies and NSDC, giving me valuable hands-on experience in data science, machine learning workflows, and real-world AI applications in business environments.

Web Developer at Intrainz, Oct 2023 - Dec 2023 · 3 mos, Bengaluru, Karnataka, India, Successfully completing a Frontend Web Development internship from 1st October 2023 to 1st December 2023. During the internship, he worked on various frontend projects, showcasing strong skills in designing and implementing responsive and user-friendly web interfaces. His performance was commendable, and he consistently demonstrated enthusiasm, a willingness to learn, and a solid understanding of frontend technologies. This certificate acknowledges his contribution and growth throughout the internship period.

Development Intern at Intrainz, Oct 2023 - Dec 2023 · 3 mos, Developed web applications including e-commerce platform and task management system using React.js and Node.js stack

Data Analyst at Rooman Technologies, Oct 2023 - Nov 2023 · 2 mos, Developed Python-based data cleaning solution for CRM systems with NLP integration for text processing

Education

Bachelor of Engineering - BE, Computer and Information Sciences and Support Services, MVJ College of Engineering, Bangalore, India

B.Tech Information Science Engineering, M.V.J. College Of Engineering